Evidence map›Paper›PMID 37081247›Full record

ReviewMagma (New York, N.Y.)2023

Magnetic resonance imaging at 9.4 T: the Maastricht journey.

Dimo Ivanov, Federico De Martino, Elia Formisano, Francisco J Fritz, Rainer Goebel, Laurentius Huber, Sriranga Kashyap, Valentin G Kemper, Denizhan Kurban, Alard Roebroeck and 6 more

Open access · hybridAbstract readReview
In one paragraph

Review in Magma (New York, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Cerebellar imaging for neuroscience at 9.4 T.Magnetic resonance in medicine · 2025
    Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 5 institutions in 4 countries.

Dimo IvanovFaculty of Psychology and Neuroscience, Maastricht University, Universiteitssingel 40, 6229 ER, Maastricht, The Netherlands. dimo.ivanov@maastrichtuniversity.nl.ORCID http://orcid.org/0000-0001-9387-5823
Federico De MartinoFaculty of Psychology and Neuroscience, Maastricht University, Universiteitssingel 40, 6229 ER, Maastricht, The Netherlands.
Elia FormisanoFaculty of Psychology and Neuroscience, Maastricht University, Universiteitssingel 40, 6229 ER, Maastricht, The Netherlands.
Francisco J FritzInstitute of Systems Neuroscience, Center for Experimental Medicine, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.
Rainer GoebelFaculty of Psychology and Neuroscience, Maastricht University, Universiteitssingel 40, 6229 ER, Maastricht, The Netherlands.
Laurentius HuberFaculty of Psychology and Neuroscience, Maastricht University, Universiteitssingel 40, 6229 ER, Maastricht, The Netherlands.
Sriranga KashyapKrembil Brain Institute, University Health Network, Toronto, ON, Canada.
Valentin G KemperFaculty of Psychology and Neuroscience, Maastricht University, Universiteitssingel 40, 6229 ER, Maastricht, The Netherlands.
Denizhan KurbanFaculty of Psychology and Neuroscience, Maastricht University, Universiteitssingel 40, 6229 ER, Maastricht, The Netherlands.
Alard RoebroeckFaculty of Psychology and Neuroscience, Maastricht University, Universiteitssingel 40, 6229 ER, Maastricht, The Netherlands.
Shubharthi SenguptaPhilips Healthcare, Best, North Brabant, The Netherlands.
Bettina SorgerFaculty of Psychology and Neuroscience, Maastricht University, Universiteitssingel 40, 6229 ER, Maastricht, The Netherlands.
Desmond H Y TseScannexus BV, Oxfordlaan 55, 6229 EV, Maastricht, The Netherlands.
Kâmil UludağKrembil Brain Institute, Koerner Scientist in MR Imaging, University Health Network Toronto, Toronto, ON, Canada.
Christopher J WigginsImaging Core Facility (INM-ICF), Institut für Neurowissenschaften und Medizin, Forschungszentrum Jülich GmbH, 52425, Jülich, Germany.
Benedikt A PoserFaculty of Psychology and Neuroscience, Maastricht University, Universiteitssingel 40, 6229 ER, Maastricht, The Netherlands.
Maastricht University · NLUniversity Health Network · CAForschungszentrum Jülich · DEPhilips (Netherlands) · NLUniversität Hamburg · DE

Funding

H2020 European Research Council 101001270H2020 European Research Council 720270 (HBP SGA1)H2020 European Research Council 785907 (HBP SGA2)H2020 European Research Council 945539 (HBP SGA3)H2020 European Research Council ERC-2010-AdG 269853H2020 European Research Council ERC - CoG 2020 - 101001270H2020 European Research Council MulticonnectH2020 Future and Emerging Technologies open grant AROMA No. 88587Nationaal Regieorgaan Onderwijsonderzoek 016-178-052Nationaal Regieorgaan Onderwijsonderzoek 14637Nationaal Regieorgaan Onderwijsonderzoek 435-12-002Nationaal Regieorgaan Onderwijsonderzoek 452-11-00National Institute of Health (US) RF1MH116978-01
6 · The paper itself

Abstract

The 9.4 T scanner in Maastricht is a whole-body magnet with head gradients and parallel RF transmit capability. At the time of the design, it was conceptualized to be one of the best fMRI scanners in the world, but it has also been used for anatomical and diffusion imaging. 9.4 T offers increases in sensitivity and contrast, but the technical ultra-high field (UHF) challenges, such as field inhomogeneities and constraints set by RF power deposition, are exacerbated compared to 7 T. This article reviews some of the 9.4 T work done in Maastricht. Functional imaging experiments included blood oxygenation level-dependent (BOLD) and blood-volume weighted (VASO) fMRI using different readouts. BOLD benefits from shorter T

Indexed as

Magnetic Resonance Imaging9.4 TfMRIpTxUltra-high field

Identifiers

PMID37081247
PMCPMC10140139
OpenAlexW4366550160

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.